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Interactive Analysis Template

Contents

Summary

This template demonstrates how to develop and share interactive reproducible analysis using Python and Jupyter Lab.

The data used in this template is for learning purposes only.

Packages

Data import

The data sources used are fictional exam scores from Kaggle and a dataset from ONS on 18-24 student population over time. The datasets can be found at Kaggle and ONS

The exam performance data comprises 5,000 records (rows) and 8 features (columns).

Data processing

Transform the 18 to 24 student population from string 1,000 format to decimal 1000.00 using ASCII to float (atof).

Add year and month columns to 18-24 student population data.

Summary statistics

Interactive analysis

18-24 student population doubled since 1992

Student numbers (aged 18-24) have almost doubled since 1992. In 2016, the student population was around 1,896,000

Recommendations

References